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Found 342 dataset(s) matching "empirical models".
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The Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) Bidirectional Reflectance Distribution Function (BRDF) and...
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The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) Nadir Bidirectional Reflectance Distribution Function (BRDF) Adjusted Reflectance (NBAR) Version 2 product...
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The CGRO/BATSE 5B Gamma-Ray Burst Spectral Catalog contains the results of systematic spectral analyses of gamma-ray bursts (GRBs) detected with the Burst and Transient Source Experiment (BATSE)...
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An extreme gradient boosting (XGB) machine learning model was developed to predict the distribution of nitrate in shallow groundwater across the conterminous United States (CONUS). Nitrate was...
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Mitigating the effects of salinity (total dissolved solids [TDS]) and selenium on water quality in the lower Gunnison River Basin of western Colorado is a major concern for land managers. In...
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A three-dimensional extreme gradient boosting (XGB) machine learning model was developed to predict the distribution of nitrate in groundwater across the conterminous United States (CONUS)....
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This data release contains data and supporting information from a systematic literature review of predictive and forecasting models of Harmful Algal Blooms (HABs) in flowing waters, primarily...
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These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed...
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The United States Geological Survey’s (USGS) SPAtially Referenced Regressions On Watershed attributes (SPARROW) model was developed to aid in the interpretation of monitoring data and simulate...
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The U.S. Geological Survey’s (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was developed to aid in the interpretation of monitoring data and simulate water-quality...
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<p>Insecticide Netting In this study, we focused on two types of long-lasting insecticide netting (LLIN) that have been found to be effective for managing various stored product insect pests. One...
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This USGS data release represents 35 geospatial datasets that were the Gulf Sturgeon Bayesian network model's outputs. The Gulf Sturgeon is a federally listed, anadromous species, inhabiting Gulf...
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The Gulf Sturgeon is a federally listed, anadromous species, inhabiting Gulf Coast rivers, estuaries, and coastal waters from Louisiana to Florida. The U.S. Geological Survey partnered with the...
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A variety of rule-based, model-based and datadriven techniques have been proposed for detection and isolation of faults in physical systems. However, there have been few efforts to...
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This dataset integrates satellite, modeled, and in situ oceanographic and biological data from Todos Santos Bay, Baja California, Mexico, within the southern California Current System, spanning...
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Climate change is a primary threat to biodiversity, but for most species, we still lack information required to assess their potential vulnerability to changes. Climate change vulnerability...
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Background Decision makers in health care organizations struggle with how to set priorities for new technologies in medicine. Traditional approaches to priority setting for new...
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The purpose of is this study was to evaluate the potential for biotransformation in the gastrointestinal tissues (GIT) of fish to impact chemical bioaccumulation. In vitro biotransformation of...
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[4:05 PM] Reed, Coral Biochars with high phosphate (P) contents are promising amendments to remediate metal-contaminated soils due to their ability to form stable metal-P precipitates. However,...
